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PanoHK360 dataset by adadai3132
⭐ 54.7
πŸ“Š
Dataset

PanoHK360

by adadai3132 adadai3132/panohk360
Free2AITools Nexus Index
54.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 42
P: Popularity 53
R: Recency 80
Q: Quality 50
Tech Context
Vital Performance —
Source β†’
Data Integrity 54.7 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID adadai3132/panohk360
License CC-BY-4.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_adadai3132_panohk360,
  author = {adadai3132},
  title = {PanoHK360 Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/adadai3132/PanoHK360}},
  note = {Accessed via Free2AITools.}
}
APA Style
adadai3132. (2026). PanoHK360 [Dataset]. Free2AITools. https://huggingface.co/datasets/adadai3132/PanoHK360

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 42
Popularity (P) 53
Recency (R) 80
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for PanoHK360: Authority (A:42), Popularity (P:53), Recency (R:80), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Downloads
38,728

🎯 Task Categories

depth-estimation image-to-image

πŸ‘οΈ Data Preview

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Dataset Specification

πŸ™οΈ PanoHK360

*A Large-Scale 8K Urban Panoramic Dataset and Benchmark for Depth Estimation*

Resolution Modality Scene Paper License

City-scale 8K equirectangular RGB Β· LiDAR-derived metric depth Β· surface normals Β· raw point clouds Β· 6-DoF poses Β· continuous outdoor sequences

🎬 Dataset Teaser


β–Ά show.mp4  Β·  Vehicle-mounted RGB–LiDAR matching and temporal geometric alignment along an urban Hong Kong trajectory.

The teaser above visualizes how continuously captured 8K panoramic frames are aligned, frame by frame, with the synchronized LiDAR sweeps that produce our metric depth annotations.

✨ Highlights

πŸ›°οΈ Sensor-Grounded Metric Depth

Depth is measured, not predicted. Every depth pixel originates from a survey-grade LiDAR return projected into the 8K equirectangular fram

Social Proof

HuggingFace Hub
38.7KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--adadai3132--panohk360
slug
adadai3132--panohk360
source
huggingface
author
adadai3132
license
CC-BY-4.0
tags
task_categories:depth-estimation, task_categories:image-to-image, language:en, license:cc-by-4.0, size_categories:100k<n<1m, region:us, panorama, depth-estimation, 360-degree, rgb-d, lidar, outdoor, urban-scenes, hong-kong, autonomous-driving, 3d-reconstruction, computer-vision, format:imagefolder, modality:image, library:datasets, library:mlcroissant

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
38,728
stars
null
forks
null

Data indexed from public sources. Updated daily.

Metadata CoverageWe index Quick Start, Datasets Used, and Benchmarks via upstream pipelines. Sections are hidden when empty for this entity -- not all source providers expose every field.